• Work collaboratively with Product Managers, Designers, and Engineers to set up, develop, and maintain critical back-end integrations for data and analytics platform. • Create and maintain new and existing data pipelines, Extract, Transform, and Load (ETL) processes, and ETL features using Azure cloud services. • Build, expand, and optimize data and data pipeline architectures. • Optimize data flow and collection for cross functional teams of database architects, data analysts, and data scientists. • Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. • Assemble large, complex sets of data that meet non-functional and functional business requirements. • Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes. • Develop and document standard operating procedures (SOPs) for new and existing data pipelines. • Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. • Write unit and integration tests for all data processing code. • Read data specifications and translate them into code and design documents.